摘要
针对当前学生择业难而学校人才培养无法满足当前社会实际需求的问题,提出基于Hadoop平台的大数据就业岗位推荐系统。该系统利用爬虫技术爬取互联网招聘网站上的海量岗位信息,并对岗位信息进行整理、清洗、分析,HBase作为数据存储,将数据制作成图表,给用户直观体验;根据用户提供的用户技能为用户筛选出合适的岗位,实现岗位的精确推荐。
In allusion to the problems that it is difficult for students to choose jobs and the talent training in schools cannot meet the actual needs of the current society,a big data employment post recommendation system based on Hadoop platform is proposed.The crawler technology is used in this system to catch the massive post information in the Internet recruitment web?site,and then sort,clean and analyze it.The HBase is used as data storage to put the data into charts to give users an intuitive experience.The appropriate post is selected for the user according to the skills provided by him to achieve accurate job recom?mendation.
作者
顾军林
刘玮玮
陈冠宇
GU Junlin;LIU Weiwei;CHEN Guanyu(Engineering Technology Research and Developent Center of Electronic Products Equipment Manufacturing of Jiangsu Province,Huai’an 223003,China)
出处
《现代电子技术》
北大核心
2019年第20期123-127,共5页
Modern Electronics Technique
基金
国家重点星火计划项目(2011GA690005)
江苏省高校自然科学研究面上项目(15KJB510024)
江苏省高等学校大学生创新创业训练(201812805015Y)
